Results 221 to 230 of about 7,199,039 (242)

GIS-based spatial visualization of petrophysical parameters

International Geophysical Conference, Beijing, China, 24-27 April 2018, 2018
Zehao Xu, Lixi Liang, Xiangjun Liu
openaire   +1 more source

Application of well log analysis to estimate the petrophysical parameters and evaluate the reservoir quality of the Lower Goru Formation, Lower Indus Basin, Pakistan

Geomechanics and Geophysics for Geo-Energy and Geo-Resources, 2019
S. Qadri, M. Islam, M. R. Shalaby
semanticscholar   +2 more sources

Basic Well Log Petrophysical Parameters

2004
Djebbar Tiab, Erie C. Donaldson
openaire   +1 more source

Study of nuclear magnetic resonance response mechanism in shale oil and correction of petrophysical parameters

Fuel
Jilong Liu, R. Xie, Jiangfeng Guo, Chenyu Xu   +3 more
semanticscholar   +1 more source

Dissimilarity Analysis of Petrophysical Parameters as Gas-sand Predictors

Journal of Sustainable Energy Engineering, 2014
Simon Katz, George Chilingar, Fred Aminzadeh, Leonid Khilyuk   +3 more
openaire   +1 more source

Prediction of petrophysical parameters using probabilistic neural network technique

2021
Prabodh Kumar Kushwaha, S.P. Maurya, P. Rai, N.P. Singh   +3 more
openaire   +1 more source

Determination of Petrophysical Parameters of Ilam Formation in Abteimoor Oilfield

2015
Abstract. In this study, petrophysical parameters of Ilam Formation have been studied using well logs, two selected wells from Aabteimoor oil field and specialized GEOLOG 6.7 software with probability statistics method (Probabilistic). Petrophysical parameters were determined from well log diagrams. Accordingly, there are appropriate porosity and water
MOVAHED, Ata, MASİHİ, Mohsen
openaire   +1 more source

Relating petrophysical parameters to petrographic interpretations in carbonates of the Chorgali Formation, Potwar Plateau, Pakistan

Carbonates and evaporites, 2019
M. Awais, M. Hanif, Muhammad Younis Khan, I. Jan, Muhammad Ishaq   +4 more
semanticscholar   +1 more source

Shaly sand interpretation using CEC-dependent petrophysical parameters

2022
openaire   +1 more source

Application of neural network modelling for classifying hydrocarbon bearing zone, water bearing zone and shale with estimation of petrophysical parameters in Cauvery basin, India

Proceedings of the Indian Academy of Sciences, Earth and Planetary Sciences, 2019
A. Pandey, R. Chatterjee, B. Choudhury
semanticscholar   +1 more source